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\newcommand\nonter[1]{\ensuremath{#1\negthinspace s}}
\usepackage{beamerthemesplit}
\usepackage{array}
\usepackage{txfonts}
\usepackage{psfig}
\usepackage{epsfig}
\usepackage{pstricks}
\usepackage{pst-node}

\title{Static charging: old and new mysteries}
\author{John Schulman}
\date{\today}

\begin{document}

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\frame
{



{\setlength\tabcolsep{4pt}
\begin{tabular}{>{$}l<{$}>{$}r<{$}>{$}l<{$}}
  &| &\{Ds \; Ss\}\\% bad spacing
  &| &\{Ds \; \nonter{S} \}\\% corrected spacing
  &| &\{Ds \; Fs\}\\% bad spacing
  &| &\{Ds \; \nonter{F} \}% corrected spacing
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\end{document}


Outline
----------

The main thing I want to do is tell you the probability model we used for parsing, and how we implement it.


* Intro
  * Goal
  * Show demo video
  * Summary of algorithms


* Character recognition
* Segmentation
* Layout parsing
  * Probability model
  * What is the most likely equation
  * How to efficiently find it.
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